code: def __call__(
      self, examples: list[Example], task_type: TaskType
  ) -> dict[str, Union[Sequence[float], Sequence[int]]]:
      raise NotImplementedError("Abstract method")
  
imports: from __future__ import annotations
  from abc import ABC, abstractmethod
  from typing import Union, cast, Sequence
  from typing_extensions import Literal, get_args
  import numpy
  import torch
  import torch.nn.functional
  from transformers import AutoModelForCausalLM, AutoTokenizer
  from accelerate import Accelerator
  from .isp_dataset import ClassificationExample, Example, ExampleWithClasses, LogoddsExample, SequenceProbExample, NumericExample, TaskType
  from .isp_utils import BasicParser
  from .isp_utils import OpenAIModel, OpenaAIModelList
label_desc: Use image node_id 1 for calling the Model obj's underlying member method code with example usage: obj.__call__(examples, task_type) without return types